Tool to calculate the birthday paradox problem. The birthday problem is famous in probabilities because its results are non-intuitive. It allows answering how many people are necessary to have 50% chance that 2 of them share the same birthday.

Birthday Probabilities - dCode

Tag(s) : Statistics, Fun/Miscellaneous

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Tool to calculate the birthday paradox problem. The birthday problem is famous in probabilities because its results are non-intuitive. It allows answering how many people are necessary to have 50% chance that 2 of them share the same birthday.

During the calculation of the birthdate paradox, it is supposed that births are equally distributed over the days of a year (it is not exactly true in reality). In the following, a year has 365 days (leap years are ignored).

Probability is 1/365 = 0.0027 = 0.27%, indeed, one chance out of 365 to be bord a precise day.

The probability is 364/365 = 0.9973 = 99.73%, indeed, he must be born a distinct day of mine, so there is 364 possibilities out of 365.

This calculation is the same as What is the probability for a person to be born a given day of the year? This given day is my birthday.

Example: 1/365 = 0.0027 = 0.27%

The calculation could also be formulated by noting that the probability for a person to be born the same day as me is the opposite as the probability for a person to be born a different day than mine.

Example: 1 - 364/365 = 1 - 0.9973 = 0,0027 = 0.27%

This calculation is the same as What is the probability for a person (the child) to be born a given day of the year (the mother birthday)?.

Example: 1/365 = 0.0027 = 0.27%

For N = 2, it is the same as probability for a person to be born the same day as me or the opposite as the probability for a person to be born a different day than mine.

Example: P(N=2) = 1 - (364/365) = 0,0027 = 0.27%

For other people, they have to be born also a distinct day than me, but also a distinct day of the other one (then calculate the opposite):

Example: P(N=3) = 1 - (364/365) * (363/365) = 0,0082 = 0.82%

Example: P(N=4) = 1 - (364/365) * (363/365) * (362/365) = 0,0164 = 1.64%

Example: P(N=5) = 1 - (364/365) * (363/365) * (362/365) * (361/365) = 0,0271 = 2.71%

About 0.5, 50% (1 chance out of 2)

366 are needed (367 if leap years are taken into account). Indeed, every day of the year plus one are needed to be sure that at least a couple of two people share the same birthday.

For a given date, 253 people are needed to get a probability of 50% that 2 people to be born a same precise day.

Probabilities are multiplied

Example: P(N=1) = 1 - (364/365)^(N-1).

Example: P(N=2) = 1 - (364/365) = 0,0027 = 0.27%

Example: P(N=3) = 1 - (364/365)^2 = 0,0055 = 0.55%

Example: P(N=n) = 1 - (364/365)^(n-1)

The probability is

Example: P = (364/365)^N

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- What are the hypothesis made to calculate the birthday probabilities?
- What is the probability for a person to be born a given day of the year?
- What is the probability for a person to be born a different day of mine?
- What is the probability for a person to be born the same day as me?
- What is the probability for a mother and its child to be born the same day?
- What are the odds for 2 people in a group of N to be born the same day?
- What is the probability that among 23 people, 2 share the same birth day?
- How many people are needed in a group to be sure that 2 share the same birthday ?
- How many people are necessary to have the probability > 50% of 2 people to be born the same given day ?
- What is the probability of 2 people among N to be born a given day?
- What is the probability that N people not to be born a given day of the year?

birthday,problem,probability,paradox,23,von,mises,365

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